Senior Python Risk Quantitative Analyst

Senior Python Model Developer – Market / Credit Risk

Barclay Simpson is partnering with a leading FTSE-listed financial services firm to hire a Senior Python Risk Quantitative Analyst into its London-based Financial Risk team.

This is a high‑impact opportunity within a visible, technically strong function responsible for the firm’s market, credit, capital and liquidity risk models. The role offers direct exposure to senior stakeholders and genuine ownership of model development.

What you’ll be doing

• Designing and enhancing Market Risk models (VaR, Expected Shortfall, stress testing)
• Contributing to Credit Risk model development (wholesale / traded exposure preferred)
• Rebuilding and optimising existing quantitative models
• Developing and deploying production‑quality Python code
• Supporting automation and model lifecycle improvementsWorking closely with Validation, Regulatory Capital, Finance and Technology teams
• Contributing to ongoing cloud migration (GCP environment)

What we’re looking for

• Strong Python (Pandas, NumPy; production‑level code)
• Solid experience developing financial risk models within:
  • A bank
  • Broker / trading firm
  • Risk consultancy
• Strong understanding of:
  • VaR
  • Expected Shortfall
  • Stress testing
  • LGD / PD frameworks
• Commercial mindset – able to balance modelling rigour with delivery pace
• Confident communicator, comfortable engaging non‑technical stakeholders

The Environment

• London‑based (hybrid – 3 days office)
• Lean, high‑visibility team
• Strong interaction with senior leadership
• Modern tech stack (Python, SQL, Git‑based deployment, cloud transition underway)

Location: London

If you’re looking for a role with genuine ownership and breadth — rather than a siloed “factory” environment — this could be an excellent next step.

Message Scott Nye at Barclay Simpson for a confidential discussion.

#J-18808-Ljbffr…